Residuals

Front

What is a residual in statistics?

Back

A residual is the difference between the observed value and the predicted value in a regression analysis.

Front

What does a correlation coefficient of r=0.5 indicate?

Back

It indicates a moderate positive correlation between two variables.

Front

What does a correlation coefficient of r=-1 indicate?

Back

It indicates a perfect negative correlation between two variables.

Front

What does a correlation coefficient of r=0 indicate?

Back

It indicates no correlation between two variables.

Front

What is the purpose of a residual plot?

Back

A residual plot is used to determine if a linear model is appropriate for the data.

Front

What does it mean if a residual plot shows a pattern?

Back

It suggests that a linear model may not be appropriate for the data.

Front

What is the range of possible values for a correlation coefficient?

Back

The range is from -1 to 1.

Front

What does a correlation coefficient close to 1 indicate?

Back

It indicates a strong positive correlation between two variables.

Front

What does a correlation coefficient close to -1 indicate?

Back

It indicates a strong negative correlation between two variables.

Front

How do you calculate a residual?

Back

Residual = Observed value - Predicted value.